Literature DB >> 7311312

Noninvasive characterization of renal artery blood flow.

E R Greene, M D Venters, P S Avasthi, R L Conn, R W Jahnke.   

Abstract

Noninvasive characterization of renal artery blood flow variables in the human has not been reported. Using a unique dual-frequency real-time two-dimensional echo Doppler (Duplex scanner) that was calibrated in vitro, we characterized renal artery blood flow patterns in 16 normal subjects (6 females). Calculated mean values of systolic diameter (Ds), maximal spatial average blood velocity (Vmsa), and volume flow rate (Q) were as follows: 4.5 +/- 0.6 mm right, 4.4 +/- 0.6 mm left; 67.6 +/- 9.4 cm . sec-1 right, 69.6 +/- 12.0 cm . sec-1 left; and 403 +/- 127 ml . min-1 right, 395 +/- 98 ml . min-1 left; respectively. Direct linear regression correlation of body surface area (BSA) with Ds and Q were statistically significant (P less than 0.01, r = 0.70; and P less than 0.01, r = 0.72, respectively). In a blind prospective series, six of seven angiographically normal renal arteries were noninvasively identified by normal geometry and blood velocity patterns. One angiographically normal artery was incorrectly classified as mildly stenotic. Eleven angiographically documented abnormal renal arteries were noninvasively identified by their abnormal blood flow patterns and/or geometry. This study suggests that dual-frequency Duplex scanning with careful sample volume control and Doppler audio spectra/blood velocity waveform analysis can be used to characterize blood flow variables in normal and diseased human renal arteries.

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Year:  1981        PMID: 7311312     DOI: 10.1038/ki.1981.171

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  11 in total

1.  Development of A Physical Windkessel Module to Re-Create In-Vivo Vascular Flow Impedance for In-Vitro Experiments.

Authors:  Ethan O Kung; Charles A Taylor
Journal:  Cardiovasc Eng Technol       Date:  2011-03       Impact factor: 2.495

2.  Comment on: "An assessment of the accuracy of renal blood flow estimation by doppler ultrasound" by Wan et al.

Authors:  Massimo Meco; Silvia Cirri
Journal:  Intensive Care Med       Date:  2009-05-07       Impact factor: 17.440

3.  Investigations of renal artery blood flow velocity in preterm and term neonates by pulsed Doppler ultrasonography.

Authors:  T Bömelburg; G Jorch
Journal:  Eur J Pediatr       Date:  1988-04       Impact factor: 3.183

4.  Prevention of renoprival nephropathy.

Authors:  P S Avasthi
Journal:  West J Med       Date:  1986-10

5.  Effect of propranolol on urinary prostaglandin E2 excretion and renal interlobar arterial blood flow after furosemide administration in patients with hepatic cirrhosis.

Authors:  N Ljubicić; A Bilić; V Plavsić
Journal:  Eur J Clin Pharmacol       Date:  1992       Impact factor: 2.953

6.  [Duplex sonography in the diagnosis of renal artery stenoses following allogenic kidney transplantation].

Authors:  G Winde; B Buchholz; W Krings; H Bünte; P Preusser; W Pircher; M Möllmann; W Tenschert
Journal:  Langenbecks Arch Chir       Date:  1989

7.  Duplex Doppler sonography for renal artery stenosis in the post-transplant pediatric patient.

Authors:  D A Stringer; D O'Halpin; A Daneman; P Liu; D F Geary
Journal:  Pediatr Radiol       Date:  1989

8.  Simulation of phase contrast angiography for renal arterial models.

Authors:  Artur Klepaczko; Piotr Szczypiński; Michał Strzelecki; Ludomir Stefańczyk
Journal:  Biomed Eng Online       Date:  2018-04-16       Impact factor: 2.819

9.  Evolution of cardiac and renal impairment detected by high-field cardiovascular magnetic resonance in mice with renal artery stenosis.

Authors:  Behzad Ebrahimi; John A Crane; Bruce E Knudsen; Slobodan I Macura; Joseph P Grande; Lilach O Lerman
Journal:  J Cardiovasc Magn Reson       Date:  2013-10-26       Impact factor: 5.364

10.  Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network.

Authors:  Liangdong Zhou; Qihao Zhang; Pascal Spincemaille; Thanh D Nguyen; John Morgan; Weiying Dai; Yi Li; Ajay Gupta; Martin R Prince; Yi Wang
Journal:  Magn Reson Med       Date:  2020-11-18       Impact factor: 4.668

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